ABC Analysis Research Articles

ABC-VEN analysis of drug use in outpatients at a neurology department in Indonesia

ABC-VEN analysis of drug use in outpatients at a neurology department in Indonesia

Perancangan Tata Letak Gudang Penyimpanan Material pada Perusahaan Air Minum dengan Menggunakan Metode Class Based Storage

PDAM Tirta Musi Palembang is a regional company engaged in the supply of clean water, especially in the Palembang area. The company still has not implemented the warehousing method properly. This is indicated by the presence of material with the highest frequency of picking placed far from the entrance and exit of the warehouse, the occurrence of long queues when picking up material for a unit in the warehouse, the aisle is used as the placement of goods, the labeling of materials is uneven, and placing goods in the area empty without regard to entry and exit. For this reason, it is necessary to improve the layout of the warehouse using the ABC Class-Based Storage method. The use of this method is based on the ease of managing the movement of goods in/out based on the frequency of movement of goods. Based on the results of data processing carried out, the grouping of materials using ABC analysis was obtained, namely Class A (HDPE Pipe, Sealtape, Elbow PE, Ferulle, Knee GS, and PVC Glue), Class B (Foucet Elbow and Knee PVC) and Class C (PVC Pipe, Clam Saddle, Box Meter, GS Pipe, and PVC Headlight). The Material Handling costs incurred in the proposed layout amounted to IDR 45,910687 (61.64% savings) which reduced the total distance by 66.30%. Keywords: ABC Analysis, Class-Based Storage, Material Handling Costs, Warehouse Layout

Evaluation of BPJS Drug Planning Controls in Regional General IFRS dr. Soehadi Prijonegoro Sragen

Service in the pharmaceutical sector at hospitals is one that must be carried out in a timely and high-quality manner in order to support good service. Controlling drug supplies has a major impact on the quality of service to patients. The aim of this research is to evaluate the BPJS drug inventory control system for the planning and procurement stages with ABC, VEN, ABC-VEN, EOQ. The research design is a type of non-experimental descriptive research with retrospective data collection. The data used for the period January-December 2021. The drugs analyzed are oral drugs and the most needed drugs are included in the ABC, VEN categories so that the BPJS ABC-VEN drug group is obtained. The results of ABC analysis with a total of 464 drugs were classified into groups. Group A 19%, group B 25.4% and group 55.6%. The VEN group analysis was Vital 19.4%, Essential 77.8% and non-Essential 2.8%. Based on the results of EOQ with a total of 113 items.

Gambaran Penjualan dan Investasi Obat Generik Apotek “X” Kelurahan Karang Anyar Kota Tarakan Menggunakan Analisis ABC Tahun 2022

Pharmacies have a role in providing health services and as a business that follows the principle of profitability. If drug management is inefficient, it can result in excessive drug stocks and/or running out of stock of several types of drugs. This research aims to find out how big the percentage of drugs is in the number of sales transactions and the investment value in planning drug needs using the ABC analysis method at Pharmacy "X". This research is a retrospective study using quantitative descriptive methods. The object studied is data on the number of sales transactions for generic medicines at Pharmacy "X" for the period January-December 2022. The sample used in this study was 168 items of medicine sold throughout 2022 using a total sampling technique. The results of ABC analysis based on investment value show that group A consists of 34 medicinal items with an investment value of IDR 103,417,500 (69.43%), group B consists of 42 medicinal items with an investment value of IDR 30,276,000 (20 .33%) and group C consists of 92 items of medicine with an investment value of IDR 15,258,300 (10.24%). Group A drug items have the highest sales and investment levels, so it is important to ensure stock availability to reduce the risk of decreasing service quality and pharmacy losses.

Differentiation of stocks by the ABC approach in the synergy of the order penetration point of the logistics chain

This research summarizes the results of the scientific discussion about the logistic chain and its order penetration point and influences on the costs of stocks. The main goal of this article is to point out determining the order penetration point of the logistics chain and differentiation of stocks according to importance from the point of view of optimizing costs and securing liquid financial resources. The object of the research was the industrial company. In this research, methods focused on using ABC analysis and Pareto analysis. The results of this research show 5 order penetration points (OPP1-OPP5) and a Push and Pull system to manage material flows for order penetration point of the logistics chain at the customer's order point. Cost optimization was solved by classifying the stocks into categories A, B, and C which is an important fact for planning and inventory management. ABC method divided 100 types of inventories with costs €5 million into categories A, B, C. Critical types of stocks in category A represents the group of stocks 38,92,7,52,13,54,90 that were reduced. This reduction of critical stocks led to the release of funds tied up in stocks. This change has a positive effect on the financial side of the company's cash flow – financial flows.

Overview of Sales and Investment in Drugs Branded by Pharmacy "X" in Kampung Satu District, Tarakan City Using ABC Analysis for the 2022 Period

Pharmacies as facilities that are authorized to manage the inventory of pharmaceutical supplies need to anticipate inventory problems, both over stock and out stock. Pareto ABC analysis is one solution to overcome planning and procurement problems which tend to be ineffective and inefficient. This research aims to determine the sales and investment value of branded drugs at one of the private pharmacies in Tarakan City. This research is a retrospective study using the Pareto ABC analysis method on branded drug sales data in 2022. Based on sales data, 761 types of branded drugs were analyzed. The data is then grouped based on sales value. As for the results obtained, group A consisted of 189 types of drugs, or the equivalent of 24.84% of the total types of drugs, with a sales value of 17,986 items and an investment value of IDR. 209,828,250. Meanwhile, group B consists of 205 types of drugs, or the equivalent of 26.94% of the total types of drugs, with a sales value of 5,155 items and an investment value of IDR. 60,177,500. Meanwhile, for group C there are 367 types of drugs, or 48.23% of all types of drugs, with a sales value of 2,573 items and a total investment value of IDR. 30,107,100. This indicates that inventory monitoring and management can be adjusted to the characteristics and investment size of each drug category.

Gambaran Penjualan dan Investası Obat Bermerek Apotek “X” Kelurahan Karang Anyar Kota Tarakan dengan Metode ABC Tahun 2022

Effective drug management requires careful inventory control to prevent problems with shortages or excess stock which can be detrimental to both the pharmacy and consumer service. This research aims to identify the percentage of drugs based on sales and investment transactions using the ABC method at Pharmacy "X" and grouping drugs into categories A, B, or C. This research is retrospective and uses a quantitative descriptive approach. The research object is data on the use of branded drugs at Pharmacy "X" for the period January- December 2022. The sample consists of 897 drug items throughout 2022, and samples were taken using the total sampling method. Data analysis involves marking numbers, item names, types, quantities, units, total prices, and trade groups, which are then sorted based on sales and investment transactions from largest to smallest. ABC analysis of this study shows that Group A dominates drug sales, while Group C has the largest number of drug items despite low movement. Close monitoring is required in Group A to prevent losses due to expired drugs. Pharmacy "X" needs to consider reducing inventory in Group C to optimize expenditure and storage space, thereby reducing the risk of expired medicines and increasing inventory management efficiency.

Implementation of ABC - XYZ Analysis on Business Inventory Management using Machine Learning Model Technology By IJISRT

This paper presents a novel approach to optimize business inventory management through the integration of ABC-XYZ analysis with advanced machine learning models. Inventory management plays a critical role in the operational efficiency and profitability of businesses across various industries. Traditional methods such as ABC analysis and XYZ analysis have been widely used to classify inventory items based on their importance and demand variability. However, the effectiveness of these methods can be further enhanced by leveraging machine learning techniques to analyze historical data and make accurate predictions. In this study, we propose a framework that combines ABC-XYZ analysis with machine learning algorithms to classify inventory items and optimize inventory control policies. We demonstrate the effectiveness of our approach through a case study conducted on a real-world business dataset, highlighting significant improvements in inventory turnover, cost reduction, and customer satisfaction.

Covid-19 Drug Control Based on BPOM Informatorium with ABC Method at the Pharmacies of Bandung City

According to statistical data from JHU CSSE COVID-19 in June 2021, there was an increase in positive cases of Coronavirus and began to decline at the end of August 2021. The planning that has been made must be corrected using the ABC method because a type of drug can consume a large budget if it is used a lot and is expensive. The purpose of this ABC value analysis is to identify the types of drugs from the scale of use that require the most costs. This type of non-experimental research uses descriptive methods through retrospective quantitative data collection using previous data, namely June – August 2021. Based on the scale of the use of Covid-19 drugs which are included in group A with the highest number of uses, it is necessary to ensure the availability of sufficient stock for avoid stock shortages that can hamper patient care in hospitals and can cause losses to hospitals. Drugs that are included in group B are adequately controlled by using warehouse stock cards and stock cards in the compounding and retail sales rooms. Drug group C needs to be controlled so that the number of drugs is not too excessive to avoid losses due to expired or damaged drugs. A review of the ABC analysis can be carried out annually along with the determination of the use of a standard drug list and the preparation of an annual budget plan.

Medicine demand forecasting: an assessment of a private hospital in Pernambuco

The efficient management of materials in the healthcare sector is crucial to avoid interruptions in the treatment of hospitalized patients, especially when demand is unpredictable and based on criteria of criticality, urgency and clinical status. In complex hospital environments with high-cost materials, demand forecasting becomes essential. This study aimed to compare demand forecast models for medicines used in the urgency and emergency sector of a private hospital in the Agreste Pernambucano. The methodology involves the selection of items and data collection using the company's information system. The ABC analysis identified 27 highly relevant drugs, and different models were tested, including experience-based parameters and hyperparameter optimization. The forecasts covered the period from January to November 2023. The results indicated the Holt-Winters Additive model as most suitable for 21 medications, Holt-Winters Multiplicative for 3, and ARIMA for the others, standing out for its precision. This study strengthens decision-making in the management of medication stocks, improving demand management and ensuring continuous treatments for patients.

Analysis of drug list used in E Hospital in 2021

Objective: General analysis and analysis according to ABC/VEN of drugs list (DL) used at Hospital E (HE) from January 1, 2021 to December 31, 2021 by retrospective analysis. Research subjects and methods: Descriptive and retrospective study of all DL used at Hospital E from January 1 to December 31, 2021, drug use report of Hospital E in 2021 and related documents regarding DL of Hospital E from January 1 to December 31, 2021. Exploiting data at the Faculty of Pharmacy Hospital E, combined with exploiting the DL management software of the Faculty of Pharmacy, Hospital E in 2021. Results: The structure of DL HE in 2021 includes 566 drugs divided into 28 groups of pharmacological effects (PE), foreign drugs dominate over domestic drugs, single-component drugs account for a larger proportion, parenteral drugs, infusion predominates. According to ABC analysis: Group A accounted for 77.38% of value with 112 drugs divided into 19 groups of physical exercise. Group B accounted for 15.03% of value with 113 drugs divided into 22 groups PE. Group C accounted for 7.59% of value. According to VEN analysis: the vital drugs (V) have 105/566 drugs, accounting for 18.55% of the items. Essential drugs (E) have 401/566 drugs, accounting for 70.85% of items. Non-essential drugs (N) have 60/566 drugs, accounting for 10.60% of the items. According to the ABC/VEN matrix: The most important group (I): including AV, AE, AN, BV, CV: 35.87% items, 80.55% value. The important group (II): including BE, BN, CE: 58.65% items, 18.55% value. The less important group (III): CN: 5.48% items and 0.90% value. Key words: Drugs List (DL); Hospital E (HE); ABC/VEN matrix; Original brand name medicine (OBNM).

Pengaruh Prosedur Pendataan Barang Terhadap Efektifitas Pengelolaan Data Aset Inventaris Di CV. Yummys Motherlacto Indonesia

CV. Yummys Motherlacto Indonesia faces challenges in the management process of inventory assets, particularly focusing on inventory asset data procedures. The challenges include procedures for registering new assets and manually recording assets using Microsoft Excel and physical logbooks. The objective of this research is to find solutions to address these challenges, aimed at enhancing the efficiency and effectiveness of the process. In this study, the researchers utilized knowledge in inventory management to handle inventory asset management, employing Enterprise Asset Management (EAM) as a solution to transition from manual methods to greater efficiency by developing an application using appsheet. Additionally, they leveraged forecasting techniques such as Demand Forecasting and extrapolation techniques, alongside ABC Analysis for categorizing the value of inventory assets. By overcoming the aforementioned challenges through solutions derived from the mentioned theories and knowledge, the research yielded outcomes that effectively improved the efficiency of the asset management process.

Analisis Manajemen Persediaan Obat Di Rumah Sakit Muhammadiyah Gresik Dengan Metode ABC dan EOQ

This study aims to improve the efficiency of inventory management at Muhammadiyah Gresik Hospital through a descriptive qualitative approach by applying ABC analysis, and EOQ analysis. This method aims to identify, categorize, and optimize inventory management to increase productivity and reduce costs. First, ABC analysis is used to group inventory items based on their level of contribution to the total inventory value. The results of the study show the identification of goods that have a significant impact on availability and profitability. With this understanding, management can focus on key items that require special attention. Furthermore, EOQ (Economic Order Quantity) analysis is used to determine the optimal order quantity so that total inventory costs (order costs, storage costs, and inventory shortage costs) can be minimized. The implementation of EOQ helps avoid overstock or understock, improve operational efficiency, and optimize resource allocation. Related to the results of the research discussion conducted, the implementation of ABC analysis, EOQ is expected to increase operational efficiency, reduce inventory costs. This research provides a foundation for hospitals and similar health institutions to improve inventory management practices.

Clinico-economic analysis of COVID-19 etiotropic pharmacotherapy

Nowadays it is possible to use several drugs of etiotropic therapy with different mechanisms of action and different costs for the treatment of COVID-19. Purpose was to study the costs of antiviral drugs in the infectious hospital of the Volgograd region and perform cost-minimization analyse of one course of antiviral therapy. Materials and methods. ABC analysis was carried out on the basis of reporting and accounting documentation for the issuance of drugs for 2020–2022. Ihe prices of the State Register of Maximum Selling Prices were used in cost-minimization analyse. Results. In 2020, 2021 and 2022 6; 2,7 and 10,6 % of the total costs for drugs, respectively, were spent on antiviral drugs. Among such drugs as favipiravir, molnupiravir, nirmatrelvir/ritonavir and remdesivir, molnupiravir of some manufacturers had the lowest cost of 1 course of therapy, and remdesivir had the highest cost.

Perencanaan Persediaan Packaging dengan Menggunakan Analisis Always Better Control (ABC) dan Metode Min-Max Pada PT. TR

This research aims to update min-max stock and focus on which items need extra supervision using ABC analysis at PT TR. This data collection technique uses observations and statistical data sets. Data collection methods such as direct observation of work areas aim to collect actual data needed for this research. The statistical data set was obtained from the PPIC department. The data source in this research is secondary data, where the data was obtained from data collectors indirectly with the PPIC department. The results of this research indicate that the standards for determining and managing raw material inventories are in accordance with the standards set by the company. The researcher concluded that by using min-max, PT TR can obtain alternative minimum and maximum limit orders according to the budget requirements spent in ordering raw materials, but there are still weaknesses in packaging inventory management activities. Companies such as PT TR must focus more on Products included in group A for the packaging procurement process because this group has a large percentage of monetary value and requires extra supervision. Keywords: ABC Analysis, Inventory, Min-Max Stock, Warehouse

A fuzzy Pythagorean TODIM method for sustainable ABC analysis in inventory management

This paper aims to improve the ABC analysis method used for inventory management by applying the Pythagorean Fuzzy TODIM approach. ABC analysis is one the well-known and widely used inventory classification techniques which divides inventory items into three categories according to their importance and value. However, the traditional ABC analysis does not consider the imprecision and vagueness of real-world inventory data, which can lead to inaccurate results and poor inventory management decisions. The proposed approach enhances the traditional ABC analysis by incorporating fuzzy numbers to be considered in real-world inventory data. The improved ABC analysis helps companies to optimize inventory levels, reduce costs, improve customer service, and increase overall operational efficiency. To check for the reliability and effectiveness of the developed model under different scenarios sensitivity analysis is conducted. Additionally, the comparative analysis among other existing models further demonstrates the model's accuracy. The model prepared shows that the Pythagorean Fuzzy TODIM approach is superior to the conventional ABC analysis in terms of reliability and dealing with the uncertain inventory data. Overall, this paper provides a novel and effective approach to inventory management and offers valuable insights for practitioners and researchers in the field.

Enhancing Placements in Educational Institutes: A Novel Approach

Abstract—The ABC analysis is an established inventory control technique in the industry wherein the available inventory is divided into three categories. It is similar to the Pareto principle and provides a mechanism to segregate the material into different categories based on their values to the industries. This study presents a novel approach of extending the concept of ABC analysis to the companies visiting the institutes for conducting the campus interview. The primary objective of this study was to enhance the quality and number of placements in the institute by classifying the industries as per the ABC analysis. The data of 268 companies visiting the institute over a period of eight years was documented and analyzed. After careful deliberations, a formula was established to determine the value of each company offering placements. The percentage value obtained for every company was used to segregate the companies into A, B and C categories. For calculations, the study has considered only the number of placements and average package offered by the visiting companies. Thereafter certain initiatives were undertaken by the institute for engaging with the industries. The motive was to enhance the quality of placements and to increase the industry-institute interactions in the institute. It was observed that the implementation of various initiatives led to an increase in the number of placements, average and maximum package. Within a year, the placements increased by 121 while the maximum package increased to 4.6 Lakhs. Pro-active engagement with the ‘A’ category companies have also resulted in additional benefits such as scholarships for needy students, increase in internships for students and increase in footfall of the industry experts and establishment of Centre of Excellence. The present study is a unique attempt to enhance the quality and number of placements in educational institutions. It represents a logical extension of a simple and commonly used technique in a different domain. This approach can be applied to any educational institute with suitable modifications for increasing the industry-institute interactions. Keywords: ABC Analysis, Educational Institutes, Engineering Graduates, Internships, Pareto Principle, Placements.

The optimal dedication of ordering policy to group B items within ABC analysis: three tunefully leading metaheuristics

The optimal dedication of ordering policy to group B items within ABC analysis: three tunefully leading metaheuristics

СУЧАСНІ ПІДХОДИ В АНАЛІЗІ ТА ОЦІНЦІ БІЗНЕС-ПРОЕКТІВ

The article presents the modern understanding of business project analysis as a systematic method of researching each individual stage of the project before its implementation. To analyze the feasibility of large projects, it is proposed to use the Pentagon model, which is based on a system-oriented approach to determine the perspectives of various participants. The value of using the model of expansion by highlighting the formal and informal roles of each of the project participants, which will further contribute to their participation in the formation of the team and interesting pages depending on the identified needs. It was determined that the key tool in the evaluation of business projects is the cost-benefit analysis (CBA), which makes it possible to ensure effective project management from the position of focusing on creating the greatest value for the organization and stakeholders. The use of cost-benefit analysis significantly affects the effectiveness of the project based on the specified conditions of use. Considering the direct and indirect costs, benefits and risks present in the project and their impact on the final results determines the need to initiate the specified tool; prioritize projects and reduce the likelihood of investing in projects with negative returns. It is noted that in the process of analyzing business projects, modern tools of business processes are widely used, namely: software for automation, modeling, monitoring and optimization of various stages of business processes (ERP systems, business intelligence, ВІ- CRM platforms, BPM systems, data analysis tools, online services for communication with customers, etc.). The use of the mentioned tools allows enterprises to effectively analyze data, forecast trends, make informed decisions, increase the efficiency of business processes, and reduce costs within the scope of implementing business projects. The principles and their fullness in the analysis of business processes of projects are determined, including: systematicity, objectivity, determinism or causal dependence, the principle of a scientific approach, efficiency, effectiveness. Considered advantages and disadvantages of methods and indicators for the analysis and evaluation of business processes of enterprise projects, such as ABC analysis, simulation modeling, analysis of process, product and customer satisfaction indicators, qualitative analysis of the business process, SWOT analysis, input and output analysis, function analysis, process analysis for compliance with standard and/or regulatory requirements, resource analysis, process problem analysis, process ranking.

Development of an explainable AI system using routine clinical parameters for rapid differentiation of inflammatory conditions.

Inflammatory conditions in patients have various causes and require different treatments. Bacterial infections are treated with antibiotics, while these medications are ineffective against viral infections. Autoimmune diseases and graft-versus-host disease (GVHD) after allogeneic stem cell transplantation, require immunosuppressive therapies such as glucocorticoids, which may be contraindicated in other inflammatory states. In this study, we employ a combination of straightforward blood tests to devise an explainable artificial intelligence (XAI) for distinguishing between bacterial infections, viral infections, and autoimmune diseases/graft-versus-host disease. We analysed peripheral blood from 80 patients with inflammatory conditions and 38 controls. Complete blood count, CRP analysis, and a rapid flow cytometric test for myeloid activation markers CD169, CD64, and HLA-DR were utilized. A two-step XAI distinguished firstly with C5.0 rules pruned by ABC analysis between controls and inflammatory conditions and secondly between the types of inflammatory conditions with a new bivariate decision tree using the Simpson impurity function. Inflammatory conditions were distinguished using an XAI, achieving an overall accuracy of 81.0% (95%CI 72 - 87%). Bacterial infection (N = 30), viral infection (N = 26), and autoimmune diseases/GVHD (N = 24) were differentiated with accuracies of 90.3%, 80.0%, and 79.0%, respectively. The most critical parameter for distinguishing between controls and inflammatory conditions was the expression of CD64 on neutrophils. Monocyte count and expression of CD169 were most crucial for the classification within the inflammatory conditions. Treatment decisions for inflammatory conditions can be effectively guided by XAI rules, straightforward to implement and based on promptly acquired blood parameters.